class_docstr: 🤗 Constructor for the image classifier trainer
class_docstr_tok: ["\ud83e\udd17","Constructor","for","the","image","classifier","trainer"]
code: def __openLogs(self):
      # Open the logs file
      self.logs_file = open(self.logs_path + "/logs.txt", "a")
  
file_path: HugsVision/build/lib/hugsvision/nnet/VisionClassifierTrainer.py
imports: import os
  from datetime import datetime
  import torch
  from sklearn import metrics
  from sklearn.metrics import precision_recall_fscore_support
  from transformers import Trainer
  from transformers.training_args import TrainingArguments
  from transformers.feature_extraction_utils import FeatureExtractionMixin
  from tqdm import tqdm
  from PIL import Image
  from hugsvision.dataio.ImageClassificationCollator import ImageClassificationCollator
label_desc: Use image node_id 2 for calling the VisionClassifierTrainer obj's underlying member method code with example usage: obj.__openLogs() without return types